| Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences JAC Martinez, LEC La Rosa, RQ Feitosa, IDA Sanches, PN Happ ISPRS Journal of Photogrammetry and Remote Sensing 171, 188-201, 2021 | 64 | 2021 |
| Open set semantic segmentation for multitemporal crop recognition JAC Martinez, H Oliveira, JA dos Santos, RQ Feitosa IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 12 | 2021 |
| Fully convolutional recurrent networks for multidate crop recognition from multitemporal image sequences. JA Chamorro Martinez, LE Cue La Rosa, RQ Feitosa, IDA Sanches, ... | 10 | 2021 |
| A many-to-many fully convolutional recurrent network for multitemporal crop recognition JA Chamorro, JD Bermudez, PN Happ, RQ Feitosa ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019 | 7 | 2019 |
| 3D convolution for multidate crop recognition from multitemporal image sequences M Rogozinski, JAC Martinez, RQ Feitosa International Journal of Remote Sensing 43 (15-16), 6056-6077, 2022 | 6 | 2022 |
| A COMPARISON OF CLOUD REMOVAL METHODS FOR DEFORESTATION MONITORING IN AMAZON RAINFOREST JAC Martinez, MXO Adarme, JN Turnes, GAOP Costa, CA De Almeida, ... The International Archives of Photogrammetry, Remote Sensing and Spatial …, 2022 | 3 | 2022 |
| Implementation of an HB-LED driver with PFC and output power control JAC Martinez, MHA Mejia, JR Fuelagán 2015 IEEE Workshop on Power Electronics and Power Quality Applications …, 2015 | 3 | 2015 |
| First results of the LEM benchmark database for agricultural applications ID Sanches, RQ Feitosa, B Montibeller, PM Achanccaray Diaz, AJB Luiz, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2020 | 2 | 2020 |
| Enhancing deforestation monitoring in the Brazilian Amazon: A semi-automatic approach leveraging uncertainty estimation JAC Martinez, GAOP da Costa, CG Messias, L de Souza Soler, ... ISPRS Journal of Photogrammetry and Remote Sensing 210, 110-127, 2024 | 1 | 2024 |
| Outlier Exposure for Open Set Crop Recognition From Multitemporal Image Sequences T Carvalho, JAC Martinez, H Oliveira, JA dos Santos, RQ Feitosa IEEE Geoscience and Remote Sensing Letters 20, 1-5, 2023 | 1 | 2023 |
| Exploring Temporal Context at Multiple Scales for Crop Mapping with Fully Convolutional Recurrent Nets and Fully Connected CRFS M Rogozinski, JAC Martinez, PN Happ, RQ Feitosa 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2305 …, 2021 | | 2021 |
| Towards Lifelong Crop Recognition Using Fully Convolutional Recurrent Networks and SAR Image Sequences JA Chamorro, RQ Feitosa, PN Happ, JD Bermudez The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2021 | | 2021 |
| MANY-TO-MANY FULLY CONVOLUTIONAL RECURRENT NETWORKS FOR MULTITEMPORAL CROP RECOGNITION USING SAR IMAGE SEQUENCES JAC MARTINEZ | | 2019 |
| A Comparison Of Fully Convolutional And Recurrent Networks For Multi-Temporal Crop Recognition Using SAR Images JAC Martinez, PN Happ, JDB Castro, LECL Rosa, RQ Feitosa Anais do XIX Simpósio Brasileiro de Sensoriamento Remoto 17 (2019), 96619, 2019 | | 2019 |
| Diseño e implementación de un driver de leds con PFC y control de iluminación J Chamorro, R Arciniegas Universidad de Nariño, 2015 | | 2015 |
| Fully volumetric tracking of melting processes in phase change materials with computed tomography J Martinez, D Gwerder, F Wahli, D Guarda, A Stamatiou, LJ Fischer, ... | | |
Raul Queiroz FeitosaProfessor at Pontifical Catholic University of Rio de Janeiro, Dept Electrical Engineering, Brazil在 ele.puc-rio.br 的电子邮件经过验证
